The University of Toledo

Applications of Bioinformatics and Proteomics/Genomics

UT course #: BIPG 6400/8400 - 3 cr
 
No Prerequisites: It is not required, but recommended that students take BIPG5100/7100 Fundamentals in BPG

Offered: Spring semester

Course director:  Dr. Alexei Fedorov, Dept. of Medicine, Vice Director BPG Program, Director of Bioinformatics Lab, (419) 383-5270, alexei.fedorov@utoledo.edu.  Dr. Fedorov's lab site can be viewed here.

Summary: In this final course of BPG program students will be familiarized with the most advanced computational techniques, programs and databases used at the frontiers of biomedical sciences. Advanced applications will be covered in four broad areas: new bioinformatic tools, genomics, proteomics, and RNomics

Grading: The course grade will be determined entirely by performance on projects assigned and graded by each instructor.

Instruction: The course is team-taught by faculty from The University of Toledo and Bowling Green State University, and all lectures are posted online.

Text: None

Example of previous syllabus: BIPG 6400 Syllabus, Spring 2013

END-OF-COURSE STUDENT EVALUATION FORM:  please click here
After completion of the Applications in BPG course, please click on the above link, print out the Evaluation Form, complete and return anonymously to:
Jo Anne Gray
BPG Program
3rd Floor CCE Building
Mail Stop: 1034

 

EDUCATIONAL PROGRAM OBJECTIVES (EPO's) for Applications Course A BPG Graduate Will Be Knowledgeable In the course of their educational program, students are provided the opportunity to gain knowledge through instruction by content experts and by supervised participation in research projects.  Knowledge will be assessed by the student’s ability to define, describe, and explain facts and concepts, as well as at higher levels of cognition that will be measured by the ability to apply, analyze, and integrate content. Before graduation, a student will have demonstrated to the satisfaction of the faculty: K1. Knowledge of molecular, biochemical, and cellular mechanisms involved in regulation of cellular processes and development K2. Knowledge of fundamental systems biology technologies, such as proteomics, genomics, and transcriptomics.